| Learning word vectors for 157 languages E Grave, P Bojanowski, P Gupta, A Joulin, T Mikolov LREC 2018, 2018 | 1960 | 2018 |
| Unsupervised learning of sentence embeddings using compositional n-gram features M Pagliardini, P Gupta, M Jaggi NAACL 2018 - Conference of the North American Chapter of the Association for …, 2018 | 942 | 2018 |
| Better word embeddings by disentangling contextual n-gram information P Gupta, M Pagliardini, M Jaggi NAACL 2019 - Conference of the North American Chapter of the Association for …, 2019 | 53 | 2019 |
| Obtaining Better Static Word Embeddings Using Contextual Embedding Models P Gupta, M Jaggi ACL-IJCNLP 2021 - Joint Conference of the 59th Annual Meeting of the …, 2021 | 41 | 2021 |
| Robust cross-lingual embeddings from parallel sentences A Sabet, P Gupta, JB Cordonnier, R West, M Jaggi arXiv preprint arXiv:1912.12481, 2019 | 19 | 2019 |
| Lightweight Cross-Lingual Sentence Representation Learning Z Mao, P Gupta, C Chu, M Jaggi, S Kurohashi ACL-IJCNLP 2021 - Joint Conference of the 59th Annual Meeting of the …, 2021 | 11 | 2021 |
| Design patterns for resource-constrained automated deep-learning methods L Tuggener, M Amirian, F Benites, P von Däniken, P Gupta, FP Schilling, ... AI 1 (4), 510-538, 2020 | 8 | 2020 |
| What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response G Mannarini, F Posa, T Bossy, L Massemin, J Fernandez-Castanon, ... PLOS Global Public Health 2 (8), e0000721, 2022 | 3 | 2022 |
| Learning cross-lingual sentence representations for multilingual document classification with token-level reconstruction. 言語処理学会第 27 回年次大会 Z Mao, P Gupta, C Chu, M Jaggi, S Kurohashi | 3 | 2021 |
| Learning computationally efficient static word and sentence representations P Gupta EPFL, 2021 | 1 | 2021 |
Martin JaggiEPFLAdresse e-mail validée de epfl.ch